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Questions tagged [amazon-machine-learning]

Amazon Machine Learning adds predictive abilities to application such as fraud detection, demand forecasting, targeted marketing, and click prediction. Algorithms create machine learning (ML) models by finding patterns in existing data. The service uses these models to process new data and generate predictions for applications.

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Using the same preprocessing code for both training and inference in sagemaker

I am working on building a machine learning pipeline for time series data where the goal is to retrain and update the model frequently to make predictions. I have written a preprocessing code that handles the time series variables and transforms…
Sandy
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Amazon AWS Machine Learning HTTP request

I have created AWS Machine Learning model with working real-time endpoint. I want to consume created service via HTTP request. For testing purpose I'm using Postman, I've created request according to Amazon's API documentation but every time I get…
Michael Dz
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Amazon Machine Learning and SageMaker algorithms

1) According to http://docs.aws.amazon.com/machine-learning/latest/dg/learning-algorithm.html Amazon ML uses SGD. However I can't find how many hidden layers are used in the neural network? 2) Can someone confirm that SageMaker would be able to do…
benji
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How to build recommendation system on Amazon Machine Learning

I wonder if I could build a recommendation system on Amazon Machine Learning. It seems that it's not that easy (according to https://forums.aws.amazon.com/thread.jspa?messageID=617667) and I think if Amazon is the best solution to do that. Maybe…
zelazowy
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Amazon Machine Learning for sentiment analysis

How flexible or supportive is the Amazon Machine Learning platform for sentiment analysis and text analytics?
Dawny33
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How to link aws sagemaker with a web app?

I have a endpoint up and running in AWS Sagemaker. However, I'm not sure how to send data to this endpoint and get back a prediction. The documentation is also not clear on this. Any help would be appreciated.
Jaskaran Singh Puri
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AWS Machine Learning Retrain Model

I have some Models created in AWS Machine Learning with a S3 csv file. After a lot of search I didn't find the better way to retrain my model. I would like to know if there any any option to retrain my models with new data or I if need to create a…
Luciano Nascimento
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AWS Machine Learning Data

I'm using the AWS Machine Learning regression to predict the waiting time in a line of a restaurant, in a specific weekday/time. Today I have around 800k data. Example Data: restaurantID (rowID)weekDay (categorical)time (categorical)tablePeople…
Luciano Nascimento
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Which techniques are used by SageMaker Neo for model optimizations

Does SageMaker Neo (SageMaker compilation job) use any techniques for model optimization? Are there any compression techniques used (distillation, quantization etc) to reduce the model size? I found some description here…
ryfeus
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How do you resolve an "Access Denied" error when invoking `image_uris.retrieve()` in AWS Sagemaker JumpStart?

I am working in a SageMaker environment that is locked down. For example, my user account is prevented from creating S3 buckets. But, I can successfully run vanilla ML training jobs by passing in role=get_execution_role to an instance of the…
aa_imran
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AWS-ML: How to deploy/setup my own ML algorithms on AWS platform as pay-to-use API?

The title sums it up. Essentially, I'd like to offer my own closed-source proprietary ML algorithms to Amazon AWS customers on a pay-to-use basis API - e.g., sales volumes prediction algorithm service licensed monthly or annually or per call. Most…
ds-ml-ai
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Does your Amazon Redshift database need be in the same region as your Machine Learning model?

When trying to use Amazon Redshift to create a datasource for my Machine Learning model, I encountered the following error when testing the access of my IAM role: There is no '' cluster, or the cluster is not in the same region as your Amazon ML…
Zach
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Amazon Machine Learning models rebuilding possibilities

There is only 2 kinds of in-built prediction/classification models in AWS Machine Learning. Logistic regression and linear regression. Is it possible somehow in current version of AWS ML to: 1) Re-build this what is under the hood of logistic and…
John Smith
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AWS Machine Learning predication by three fields

i have created a model in AWS contains Sales records by date for example Type: Sale,Time:2016-08-01,Success:1 (1 is a boolean) i want to predict how much Sales will be after 1 month from the latest date (2016-08-01) which means a combo of…
David Munsa
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AWS Sagemaker: Can I pass a sagemaker.workflow.parameters.ParameterString to an SKLearnProcessor

I am working on creating a Sagemaker pipeline. In the evaluation step, I would like to pass an argument to my preprocess.py script. There are a few examples online of how to do so (a sample below) but they all use static values. I want to pass a…
Abdelrahman Shoman
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